Academic Radiology 

TL;DR: A new mammographic database built with full-field digital mammograms, which presents a wide variability of cases, and is made publicly available together with precise annotations is presented and can be a reference for future works centered or related to breast cancer imaging.

TL;DR: An overview of deep learning for radiologists is presented in a manner that is understandable to radiologists; to examine past, present, and future applications; as well as to evaluate how radiologists may benefit from this remarkable new tool.

TL;DR: In an anthropomorphic phantom model, dual-energy CT can accurately discriminate uric acid stones from other stone types.

TL;DR: Using a single-probe technique for RF-induced tissue necrosis, the diameter of tissue coagulation may be predicted by the local temperature along the exposed electrode, and the uniformity of temperature decreases with increased tip exposures.